{"id":"W1529627684","doi":"10.1007/978-3-540-72665-4_26","title":"A Profit-Based Business Model for Evaluating Rule Interestingness","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Profit (economics); Database transaction; Business rule; Affinity analysis; Data mining; Association rule learning; Data science; Database; Business process; Marketing; Business; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00190152,0.0004677417,0.0004330753,0.0006894669,0.0003978356,0.0006520234,0.003638313,0.0002443867,0.000003624367],"category_scores_gemma":[0.0003125295,0.0004381428,0.0001027644,0.0008453351,0.0004161666,0.000482841,0.0009702931,0.0004661368,0.00001342971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002369996,"about_ca_system_score_gemma":0.001261008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001889791,"about_ca_topic_score_gemma":0.00004041629,"domain_scores_codex":[0.9962392,0.00001336507,0.0005770408,0.001638551,0.0008183788,0.0007134927],"domain_scores_gemma":[0.9964582,0.0007191005,0.0003640697,0.001471738,0.0008334543,0.0001534335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004620572,0.0000194243,0.000008068768,0.00006483979,0.000003650732,0.000005427011,0.000213737,0.1660446,0.00009229437,0.01003393,0.00001425711,0.8234951],"study_design_scores_gemma":[0.0002904973,0.00007147835,0.00003694887,0.0004604014,0.000008993452,0.00001317008,8.770889e-8,0.9358248,0.000393899,0.06225993,0.0001493868,0.0004903879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00008454815,0.00008495407,0.9969191,0.0006235967,0.0006637477,0.0007856795,0.00003491911,0.0002157777,0.0005876691],"genre_scores_gemma":[0.009649567,0.000001765332,0.9886514,0.0009846374,0.000262401,0.0000840163,0.00003205991,0.00004117961,0.0002929766],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8230047,"threshold_uncertainty_score":0.9998071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09324250939051158,"score_gpt":0.345006865227956,"score_spread":0.2517643558374444,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}